An Approach to Improvise Canny Edge Detection using Morphological Filters

Abstract

Object detection is a computerized technology related to image processing used in images and videos, to identify instances of real world object. Object detection is usually achieved by edge detection. Edge detection is a process to identify the edges of image by finding the place where intensity changes rapidly. In this experiment an attempt is made to detect the objects by using canny edge detection method in java. The detected objects can be further used for watermarking purpose. The comparison between canny and sobel edge detection is carried out. Morphological filters are used to improve canny edge detection. Contour based learning technique is used to draw contours for detected objects.